Evidence map›Paper›PMID 37958955›Full record

ArticleInternational journal of molecular sciences2023

Reference Genes Screening and Gene Expression Patterns Analysis Involved in Gelsenicine Biosynthesis under Different Hormone Treatments in

Yao Zhang, Detian Mu, Liya Wang, Xujun Wang, Iain W Wilson, Wenqiang Chen, Jinghan Wang, Zhaoying Liu, Deyou Qiu, Qi Tang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Selection of Reference Genes inPlants (Basel, Switzerland) · 2024
    Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 2 countries.

Yao ZhangCollege of Horticulture, National Research Center of Engineering Technology for Utilization of Botanical Functional Ingredients, Hunan Agricultural University, Changsha 410128, China.ORCID 0009-0000-1424-1129
Detian MuCollege of Horticulture, National Research Center of Engineering Technology for Utilization of Botanical Functional Ingredients, Hunan Agricultural University, Changsha 410128, China.
Liya WangCollege of Horticulture, National Research Center of Engineering Technology for Utilization of Botanical Functional Ingredients, Hunan Agricultural University, Changsha 410128, China.
Xujun WangHunan Academy of Forestry, Changsha 410018, China.
Iain W WilsonCSIRO Agriculture and Food, Canberra, ACT 2601, Australia.ORCID 0000-0002-4626-8059
Wenqiang ChenCollege of Horticulture, National Research Center of Engineering Technology for Utilization of Botanical Functional Ingredients, Hunan Agricultural University, Changsha 410128, China.ORCID 0000-0003-2023-0420
Jinghan WangCollege of Forestry, Central South University of Forestry and Technology, Changsha 410004, China.ORCID 0009-0008-0847-2260
Zhaoying LiuCollege of Veterinary Medicine, Hunan Agricultural University, Changsha 410128, China.ORCID 0000-0002-9050-2287
Deyou QiuState Key Laboratory of Tree Genetics and Breeding, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China.ORCID 0000-0003-2057-0302
Qi TangCollege of Horticulture, National Research Center of Engineering Technology for Utilization of Botanical Functional Ingredients, Hunan Agricultural University, Changsha 410128, China.ORCID 0000-0003-2385-4263
Hunan Agricultural University · CNCentral South University of Forestry and Technology · CNChinese Academy of Forestry · CNCommonwealth Scientific and Industrial Research Organisation · AU

Funding

National Natural Science Foundation of China No.32270398Postgraduate Scientific Research Innovation Project of Hunan Agriculture University 2022XC062Postgraduate Scientific Research Innovation Project of Hunan Province CX20220689
6 · The paper itself

Abstract

Reverse transcription quantitative polymerase chain reaction (RT-qPCR) is an accurate method for quantifying gene expression levels. Choosing appropriate reference genes to normalize the data is essential for reducing errors.

Indexed as

GelsemiumGene ExpressionGene Expression ProfilingHormonesIndole AlkaloidsReal-Time Polymerase Chain ReactionReference StandardsgelsenicineHormonesIndole Alkaloidsco-expressionGelsemium elegansgelsenicinehormone treatmentnormalizationreference geneRT-qPCR

Identifiers

PMID37958955
PMCPMC10648913
OpenAlexW4388335032

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.